125 citations · 167 across the 9 of their papers we have counts for
9 papers
Regularized infill criteria for multi-objective Bayesian optimization with application to aircraft design
Robin Grapin, Youssef Diouane, Joseph Morlier +4
Bayesian optimization is an advanced tool to perform ecient global optimization It consists on enriching iteratively surrogate Kriging models of the objective and the constraints b…
High-dimensional mixed-categorical Gaussian processes with application to multidisciplinary design optimization for a green aircraft
Paul Saves, Youssef Diouane, Nathalie Bartoli +2
Recently, there has been a growing interest in mixed-categorical metamodels based on Gaussian Process (GP) for Bayesian optimization. In this context, different approaches can be u…
SMT 2.0: A Surrogate Modeling Toolbox with a focus on Hierarchical and Mixed Variables Gaussian Processes
Paul Saves, Remi Lafage, Nathalie Bartoli +6
The Surrogate Modeling Toolbox (SMT) is an open-source Python package that offers a collection of surrogate modeling methods, sampling techniques, and a set of sample problems. Thi…
On some properties of the compliance-volume fraction Pareto front in topology optimization useful for material selection
Edouard Duriez, Miguel Charlotte, Catherine Azzaro-Pantel +1
Selecting the optimal material for a part designed through topology optimization is a complex problem. The shape and properties of the Pareto front plays an important role in this…
A mixed-categorical correlation kernel for Gaussian process
P. Saves, Y. Diouane, N. Bartoli +2
Recently, there has been a growing interest for mixed-categorical meta-models based on Gaussian process (GP) surrogates. In this setting, several existing approaches use different…
Hale multidisciplinary ecodesign optimization with material selection
Edouard Duriez, Victor Manuel Guadano Martin, Joseph Morlier
Multidisciplinary Design Optimization (MDO) makes it possible to reach a better solution than by optimizing each discipline independently. In particular, the optimal structure of a…
An outer approximation bi-level framework for mixed categorical structural optimization problems
Pierre-Jean Barjhoux, Youssef Diouane, Stéphane Grihon +1
In this paper, mixed categorical structural optimization problems are investigated. The aim is to minimize the weight of a truss structure with respect to cross-section areas, mate…
Explicit topology optimization through moving node approach: beam elements recognition
Ghislain Raze, Joseph Morlier
Structural optimization (topology, shapes, sizing) is an important tool for facilitating the emergence of new concepts in structural design. Normally, topology optimization is carr…
Segmentation of the Homogeneity of a Signal Using a Piecewise Linear Recognition Tool
Joseph Morlier
In this paper a new method of detection of homogeneous zones and singularity parts of a 1D signal is proposed. The entropy function is used to transform signal in piecewise linear…